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Data Catalog Coverage — String Normalisation + Two-Measure Correlation
x402
Data Catalog Coverage — String Normalisation + Two-Measure Correlation is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-23).
Runs string normalisation and two-measure Pearson/Spearman correlation analysis on data catalog coverage records (documented_fields vs total_fields) for up to 200 rows, returning two analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Data catalog coverage — String normalisation + Two-measure correlation: String normalisation + Two-measure correlation for supplied data catalog coverage records (documented_fields, total_fields). Up to 200 rows; 2 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 2 supplied-data reports for up to 200 rows.
Output
Returns two analytical reports: (1) a string normalisation report covering the dataset_group and other string fields, and (2) a two-measure correlation report quantifying the statistical relationship between documented_fields and total_fields across the supplied rows. Both reports are computed locally with no external lookups.
Example use cases
Data governance coverage audit
“I need to check how well our datasets are documented — can you normalise the group names and correlate documented_fields against total_fields for these 6 catalog records: row-1 2026-01-15 group-alpha 45 documented 60 total, row-2 2026-01-16 group-beta 30 documented 50 total, row-3 2026-01-17 group-alpha 55 documented 70 total, row-4 2026-01-18 group-beta 20 documented 40 total, row-5 2026-01-19 group-gamma 80 documented 100 total, row-6 2026-01-20 group-gamma 10 documented 25 total?”
Data quality pipeline monitoring
“Run a string normalisation pass and two-measure correlation analysis on my weekly data catalog snapshot — here are 5 rows: row-1 2026-03-01 pipeline-A 100 documented 120 total, row-2 2026-03-02 pipeline-A 90 documented 115 total, row-3 2026-03-03 pipeline-B 200 documented 220 total, row-4 2026-03-04 pipeline-B 180 documented 210 total, row-5 2026-03-05 pipeline-C 50 documented 60 total.”
Cross-team documentation coverage comparison
“Can you normalise the dataset group labels and compute a two-measure correlation between documented_fields and total_fields for these 3 team coverage records? row-1 2026-06-01 Team_Engineering 300 documented 400 total, row-2 2026-06-02 Team_DataScience 150 documented 180 total, row-3 2026-06-03 Team_Product 75 documented 90 total.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-21-033?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both string normalisation and two-measure statistical correlation on data catalog coverage fields (documented_fields vs total_fields) in a single call, without requiring external data lookups or predictions. It is best suited for batch analytical workflows on up to 200 rows of catalog metadata, where you want two distinct reports from shared local computation at minimal cost ($0.01 USDC per call).
Side effects
- Input array exceeds 200 rows — request rejected
- Missing required fields (row_id, dataset_group, date, documented_fields, total_fields) in any row — validation error
- date field does not match YYYY-MM-DD pattern — schema validation failure
- Numeric values out of allowed range (±1,000,000,000,000) — rejected
- Insufficient data rows for meaningful correlation (e.g. only 1 row) — may return degenerate or undefined correlation
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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